Literature DB >> 18805705

An improved abnormal toxicity test by using reference vaccine-specific body weight curves and histopathological data for monitoring vaccine quality and safety in Japan.

Takuo Mizukami1, Atsuko Masumi, Haruka Momose, Madoka Kuramitsu, Kazuya Takizawa, Seishiro Naito, Jun-Ichi Maeyama, Keiko Furuhata, Momoka Tsuruhara, Isao Hamaguchi, Kazunari Yamaguchi.   

Abstract

Vaccines differ from other pharmaceutical products. The quality and safety of batches are regulated to high standards by national regulatory authorities. Various quality control and safety tests have been developed, including the abnormal toxicity test (ATT), which is described in the World Health Organization (WHO) guidelines and in each country's pharmacopoeia. However, the criteria for abnormal results are not well defined in these guidelines. In addition, the animal grade to be used in ATT, classified on the basis of microbial colonization, was not designated in either guideline. In this study, we report a new and improved method of performing ATT, including statistical, histopathological analysis and hematological findings. It is based on the observation that there are body weight changes characteristic to each vaccine, and such standardized changes can be used as references for evaluating test vaccines. In addition, histopathological data are useful for determining vaccine quality and safety. Combined with histopathological examination, the improved ATT will be of great use for evaluating the consistency, quality and safety of different batches of vaccine. The results of these analyses were similar using either 'clean' or specific pathogen-free guinea pigs.

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Year:  2008        PMID: 18805705     DOI: 10.1016/j.biologicals.2008.07.007

Source DB:  PubMed          Journal:  Biologicals        ISSN: 1045-1056            Impact factor:   1.856


  7 in total

1.  In vivo study of hepatitis B vaccine effects on inflammation and metabolism gene expression.

Authors:  Heyam Hamza; Jianhua Cao; Xinyun Li; Shuhong Zhao
Journal:  Mol Biol Rep       Date:  2011-06-21       Impact factor: 2.316

Review 2.  A new method for the evaluation of vaccine safety based on comprehensive gene expression analysis.

Authors:  Haruka Momose; Takuo Mizukami; Masaki Ochiai; Isao Hamaguchi; Kazunari Yamaguchi
Journal:  J Biomed Biotechnol       Date:  2010-06-13

3.  Pathological analysis of batch safety testing of veterinary vaccines using small laboratory animals.

Authors:  Kasumi Sudo; Mariko Ochiai; Naoyuki Aihara; Noriyuki Horiuchi; Atsushi Yamamoto; Sachiko Matsumoto; Koji Oishi
Journal:  J Toxicol Pathol       Date:  2021-02-25       Impact factor: 1.628

4.  Establishment of a new quality control and vaccine safety test for influenza vaccines and adjuvants using gene expression profiling.

Authors:  Haruka Momose; Takuo Mizukami; Madoka Kuramitsu; Kazuya Takizawa; Atsuko Masumi; Kumiko Araki; Keiko Furuhata; Kazunari Yamaguchi; Isao Hamaguchi
Journal:  PLoS One       Date:  2015-04-24       Impact factor: 3.240

5.  Modeling for influenza vaccines and adjuvants profile for safety prediction system using gene expression profiling and statistical tools.

Authors:  Eita Sasaki; Haruka Momose; Yuki Hiradate; Keiko Furuhata; Mamiko Takai; Hideki Asanuma; Ken J Ishii; Takuo Mizukami; Isao Hamaguchi
Journal:  PLoS One       Date:  2018-02-06       Impact factor: 3.240

6.  System vaccinology for the evaluation of influenza vaccine safety by multiplex gene detection of novel biomarkers in a preclinical study and batch release test.

Authors:  Takuo Mizukami; Haruka Momose; Madoka Kuramitsu; Kazuya Takizawa; Kumiko Araki; Keiko Furuhata; Ken J Ishii; Isao Hamaguchi; Kazunari Yamaguchi
Journal:  PLoS One       Date:  2014-07-10       Impact factor: 3.240

Review 7.  Historical data analyses and scientific knowledge suggest complete removal of the abnormal toxicity test as a quality control test.

Authors:  Joerg H O Garbe; Susanne Ausborn; Claire Beggs; Martin Bopst; Angelika Joos; Alexandra A Kitashova; Olga Kovbasenco; Claus-Dieter Schiller; Martina Schwinger; Natalia Semenova; Lilia Smirnova; Fraser Stodart; Thomas Visalli; Lisette Vromans
Journal:  J Pharm Sci       Date:  2014-09-10       Impact factor: 3.534

  7 in total

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